Joint modelling of longitudinal and survival data
Joint models provide an effective solution to modelling a longitudinal, repeatedly measured outcome (such as blood pressure), and a survival endpoint (such as the time to death from any cause), incorporating all of the unique features that such data can entail
- Specialist training course
- Experienced faculty
- Carefully designed curriculum
- Lectures combining methods and examples
- Hands-on practical sessions
Join us for an introduction to the methods, estimation, prediction and software, of joint longitudinal and survival models
Course curriculum
- Introduction to joint models
- Separate longitudinal and survival analysis
- Survival analysis with a time-varying covariate
- Two-stage models
- Joint modelling of longitudinal and survival data
- Alternative association structures
- Prediction, including dynamic predictions
- Further topics
Choose your flavour
Online
- Fully integrated online training course
- Access recorded lectures and practical walkthroughs
- Download lecture slides and practical sessions
- Monitored discussion boards to answer all your questions
- Visit our online training store (coming Summer 2023)
In person
- Live online or in person training
- Commission anything from a two-hour overview, to a two-day deep dive into joint models
- Get in touch to book
- Registration open for the Summer School on Modern Methods in Biostatistics and Epidemiology
Instructor
Michael Crowther, PhD
Course lecturer
Read more about Michael
Find out more
Red Door Analytics AB is a registered company in Sweden
CEO: Michael Crowther
Org. number: 559351-8359
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